Recent developments in self validating seva sensors
Department of Computer Science and Artificial Intelligence, CITIC-UGR, University of Granada, Granada, Spain Received 27 February 2016; Revised 25 August 2016; Accepted 4 September 2016Academic Editor: Francesco Dell’Olio Copyright © 2016 Ivan Miguel Pires et al.This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.In 1998 the Invensys University Technology Centre (UTC) for Advanced Instrumentation was established (£1.75M), and in 2003 the funding was renewed for a further 5 years (£3.5M). The UTC’s concept of the self-validating, or SEVA, sensor has become a British Standard and is reflected in a new Russian metrological standard.
Nevertheless, it remains fairly unknown to the user to which extent the data the applications use can be relied upon and, therefore, to which extent the output of a given application is trustworthy or not.
Results demonstrate that the proposed scheme provides a better solution to the status self-validation of a multifunctional self-validating sensor under both normal and abnormal situations.
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Purpose ‐ To provide an overview of self-validating sensor technology for researchers and engineers which can help them understand the concept and recent developments of this research area.
Design/methodology/approach ‐ The concept of self-validating (SEVA) sensors, including definition, output parameters and requirement of SEVA sensors are introduced.